Microshare Testimonials

“After these initial results, the Faculty of Medicine will be able to refine its systems for combatting the spread of epidemics thanks to a better knowledge of the interactions between students and thanks to a mastery of air quality. Mathematical modeling of air renewal in a classroom or amphitheater allows us to estimate in advance the maximum number of people who can be present to maintain a CO2 level below a set threshold.”

“In addition to helping doctors and scientists describe and understand Covid-19 transmission models, the system demonstrated that LoRaWAN® easy-to-deploy, indoor air-quality management solutions consisting of contact-tracing individual autonomous beacons, connected CO2 sensors, applications and AI algorithms are a reliable, cost-efficient and easy-to-operate system for in-building air-quality monitoring.”